evoVersion: Visualizing Evolutionary Histories

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Kelly:2016:CEC,

• author = "Justin Kelly and Christian Jacob",
• title = "{evoVersion}: Visualizing Evolutionary Histories",
• booktitle = "Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016)",
• year = "2016",
• editor = "Yew-Soon Ong",
• pages = "814--821",
• address = "Vancouver",
• month = "24-29 " # jul,
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-1-5090-0623-6",
• DOI = "doi:10.1109/CEC.2016.7743875",
• abstract = "Evolutionary computation is a field characterized by large data sets produced either through user-driven or automatic evaluation. Because of the sheer magnitude of evolved solutions that need to be reviewed and analysed, it can be difficult to fully use evolutionary data effectively. To address this challenge we present evoVersion, a system capable of applying version control methodologies to assist with both the organization and visualization of evolutionary data for the purpose of building upon previous sessions and assisting with collaborative evolutionary design. Our system is implemented in a 3D game engine, which can make use of immersive and virtual reality visualization of evolutionary design experiments.",
• notes = "WCCI2016",

}

Genetic Programming entries for Justin Kelly Christian Jacob

Citations